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AI Engineering Lead
Not specifiedFull-timeAI EngineeringEnterprise Software
Technical leadership role responsible for company-wide AI infrastructure, secure AI adoption, agentic development practices, and engineering workflow improvement. The role leads a small team of 2–5 engineers while remaining primarily hands-on and reports to the Agentic business unit owner.
Responsibilities
- Own AI infrastructure, including model access, tooling, evaluation, and cost-performance tradeoffs across engineering teams.
- Drive adoption of agentic development practices throughout day-to-day engineering workflows.
- Own AI security posture, including data handling, model and tool access controls, and secure use of third-party AI services.
- Act as the technical authority for teams adopting AI tooling and agentic patterns.
- Lead a small team of 2–5 engineers building and maintaining shared AI infrastructure and tooling.
- Identify research and development workflow inefficiencies and implement infrastructure or tooling improvements.
Requirements
- At least 5 years leading engineering teams or technical initiatives across infrastructure, tooling, and delivery.
- Hands-on experience driving AI-native research and development transformation, including changes to how teams build software.
- Demonstrated success improving research and development workflow efficiency.
- Strong technical depth in infrastructure and security, with the ability to make and defend architecture-level decisions.
- Ability to operate as an individual technical leader and influence through technical expertise.
Nice to have
- Experience in a regulated or compliance-heavy environment.
- Experience with agent frameworks such as LangGraph and MCP-based tool architectures.
- Experience securing AI infrastructure, including model access control, data isolation, and audit logging.